Abstract: Techniques are provided for determining a user of a computing device who is likely to be unsatisfied with a value of a setting of a program running on the computing device. First information is collected about the value of the setting from a first population of users who invoke a routine to automatically reset the value of the setting to a default value. Second information is collected about the value of the setting from a second population of users who do not invoke the routine. Based on a comparison of the first information and the second information, a determination is made that a user in the second population is likely to be unsatisfied with the value of the setting.

Abstract: A web browser extension specifies a set of rules identifying types of network requests or attributes of document object models that the web browser extension seeks to modify. Each of the set of rules is expressed in a declarative expression. A web browser receives the set of rules from the web browser extension, evaluates conditions from the set of rules in native code of the web browser, and executes at least one action from the set of rules based on at least one fulfilled condition of the conditions, in native code of the web browser, to apply the at least one action to a network request or to a document object model related to a web page rendered by a renderer process of the web browser.

Abstract: A computer implemented method includes generating a first cryptographic hash based on at least one setting associated with an operating system at a first time, storing the first cryptographic hash as a first bit string, generating a second cryptographic hash as a second bit string, wherein the second cryptographic hash is based on the at least one setting associated with the operating system at a second time, determining that a setting associated with the operating system has changed and that the setting change was made outside of the operating system based on a comparison of the first and second bit strings, and if the setting change was made outside of the operating system, setting the setting to a default value.

Abstract: A computer implemented method includes generating a first cryptographic hash based on at least one setting associated with a browser at a first time, storing the first cryptographic hash as a first bit string, generating a second cryptographic hash as a second bit string, wherein the second cryptographic hash is based on the at least one setting associated with the browser at a second time, determining that a setting associated with the browser has changed and that the setting change was made outside of the browser based on a comparison of the first and second bit strings, and if the setting change was made outside of the browser, setting the setting to a default value.

Abstract: A system includes an extension manager configured to cause at least one processor to execute multiple extensions in parallel that each attempt to modify a network request related to a webpage, and a conflict manager. The conflict manager is configured to cause the at least one processor to resolve conflicts among attempts by the multiple extensions to modify the network request. The conflicts are resolved using a set of precedence criteria and conflict rules. The conflict rules include for example logic that specifies that the network request is cancelled if any of the multiple extensions attempt to cancel the request. As another example, if at least two of the multiple extensions attempt to redirect the network request to at least two different URLs, the system determines which one extension is allowed to redirect the network request, and allows only the attempt by the one extension to redirect the network request.

Abstract: A system and a computer-implemented method for processing a cookie description file are provided. A browser provides the cookie description file that includes meta-information associated with cookies that are associated with a domain. The meta-information includes cookie information specific to each cookie. The cookie description file is parsed and the meta-information associated with each cookie is extracted. The parsed meta-information is displayed in a user-readable format on a client device.